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Software Dev Engineer, eero

Amazon

Software Dev Engineer, eero

Amazon

Taipei, TPE, TWN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Parental leave

Generous paid time off and holidays

Team events and activities

Parental Leave

Required Skills

TypeScript

JavaScript

PostgreSQL

Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants so we appreciate your patience as we review applications.
Are you interested in making one of the best Wi Fi mesh routers? As part of eero’s mission to reinvent Wi Fi, you’ll be making a difference in the fabric of the modern home.
eero is now looking for a highly proficient, hands-on Software Development Engineer who can help to improve our mesh and client connectivity, design new features, and ensure that the end users have a great connectivity experience. You’ll be working with international teams on various topics. You’ll be able to learn and innovate in the Wi Fi world.
#auta-twn

  • Key job responsibilities
  • Enhance the networking experiences for eero's whole home connectivity products
  • Investigate customer issues from production with a focus on early field failure analysis
  • Dive deep into embedded system internals
  • Deliver rapid board bring up and prototyping of new platforms
  • Work with core operating system, mobile and cloud teams to deliver features

Basic Qualifications

  • Speak, write, and read fluently in Mandarin
  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field.
  • Graduate between 2025 - 2026.
  • Proficiency in the C or C++ programming language.
  • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis

Preferred Qualifications

  • Experience or coursework in AI/ML, Generative AI, or hands-on familiarity with AI-powered development tools
  • Knowledge of Python or scripting languages commonly used with AI tools and automation
  • Previous technical internship(s), especially in embedded systems or IoT domains
  • Demonstrated passion for exploring and adopting emerging technologies to improve development efficiency and code quality
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases
  • Understanding of embedded systems, real-time operating systems (RTOS), or Linux
  • Understanding in computer network and/or wireless network is a plus.
    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge